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灰度预测+LinearSVR和AERIMA预测财政收入
一、灰度预测+LinearSVR import pandas as pd import numpy as np from sklearn.linear_model import Lasso inputfile = './data/data.csv' # 输入的数据文件 data = pd.read_csv(inputfile) # 读取数据 lasso = Lasso(1000) # 调用Lasso()函数，设置λ的值为1000 lasso.fi灰度预测+LinearSVR和ARIMA预测财政收入
数据 一、灰度预测+LinearSVR 灰度预测 import pandas as pdimport numpy as npfrom sklearn.linear_model import Lasso inputfile = 'E:/PY1/data/data.csv' # 输入的数据文件data = pd.read_csv(inputfile) # 读取数据 lasso = Lasso(1000) # 调用Lasso()函数，设置